Reciprocity based channel state information acquisition for frequency division duplex system

ABSTRACT

Various embodiments disclosed herein provide for a reciprocity based channel state information acquisition scheme for frequency division duplex wireless communications systems. By converting channel state information from a traditional frequency-time domain to a Delay-Doppler domain, the channel state information feedback overhead can be reduced since the multi-path of radio propagation is reciprocal in terms of each ray and each cluster of antenna elements. Since the surrounding objects create the same multipath fading for both uplink and downlink transmissions, modeling the channel state information in the Delay-Doppler domain, and adjusting the sign of the Doppler value (negative/positive) can account for the multipath characteristics in both uplink and downlink.

RELATED APPLICATION

The subject patent application is a continuation of, and claims priority to, U.S. patent application Ser. No. 15/891,162 (now U.S. Pat. No. 10,651,912), filed Feb. 7, 2018, and entitled “RECIPROCITY BASED CHANNEL STATE INFORMATION ACQUISITION FOR FREQUENCY DIVISION DUPLEX SYSTEM,” the entirety of which application is hereby expressly incorporated by reference herein.

TECHNICAL FIELD

The present application relates generally to the field of mobile communication and, more specifically, to reciprocal channel state information acquisition in a frequency division duplex system in a next generation wireless communications network.

BACKGROUND

To meet the huge demand for data centric applications, Third Generation Partnership Project (3GPP) systems and systems that employ one or more aspects of the specifications of the Fourth Generation (4G) standard for wireless communications will be extended to a Fifth Generation (5G) standard for wireless communications. Unique challenges exist to provide levels of service associated with forthcoming 5G and other next generation network standards.

BRIEF DESCRIPTION OF THE DRAWINGS

Non-limiting and non-exhaustive embodiments of the subject disclosure are described with reference to the following figures, wherein like reference numerals refer to like parts throughout the various views unless otherwise specified.

FIG. 1 illustrates an example wireless communication system in accordance with various aspects and embodiments of the subject disclosure.

FIG. 2 illustrates an example block diagram showing a message sequence chart in accordance with various aspects and embodiments of the subject disclosure.

FIG. 3 illustrates an example block diagram showing another message sequence chart in accordance with various aspects and embodiments of the subject disclosure.

FIG. 4 illustrates an example block diagram embodiment of a reciprocal based channel state information acquisition system in accordance with various aspects and embodiments of the subject disclosure.

FIG. 5 illustrates an example block diagram embodiment of a reciprocal based channel state information acquisition system in accordance with various aspects and embodiments of the subject disclosure.

FIG. 6 illustrates an example method for reciprocally acquiring channel state information in a frequency division duplex system in accordance with various aspects and embodiments of the subject disclosure.

FIG. 7 illustrates an example method for reciprocally acquiring channel state information in a frequency division duplex system in accordance with various aspects and embodiments of the subject disclosure.

FIG. 8 illustrates an example method for reciprocally acquiring channel state information in a frequency division duplex system in accordance with various aspects and embodiments of the subject disclosure.

FIG. 9 illustrates an example block diagram of an example user equipment that can be a mobile handset operable in accordance with various aspects and embodiments of the subject disclosure.

FIG. 10 illustrates an example block diagram of a computer that can be operable to execute processes and methods in accordance with various aspects and embodiments of the subject disclosure.

DETAILED DESCRIPTION

One or more embodiments are now described with reference to the drawings, wherein like reference numerals are used to refer to like elements throughout. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the various embodiments. It is evident, however, that the various embodiments can be practiced without these specific details (and without applying to any particular networked environment or standard).

Various embodiments disclosed herein provide for a reciprocity based channel state information acquisition scheme for frequency division duplex wireless communications systems. By converting channel state information from a traditional frequency-time domain to a Delay-Doppler domain, the channel state information feedback overhead can be reduced since the multi-path of radio propagation is reciprocal in terms of each ray and each cluster of antenna elements. Since the surrounding objects create the same multipath fading for both uplink and downlink transmissions, modeling the channel state information in the Delay-Doppler domain, and adjusting the sign of the Doppler value (negative/positive) can account for the multipath characteristics in both uplink and downlink.

In an embodiment, a base station device can estimate a channel response or channel covariance matrix in the Delay-Doppler domain where the channel estimation is based on a reference signal that is received from a user equipment device. In an embodiment, the reference signal may be generated in traditional frequency-time domain, in that case the estimated channel response/covariance matrix is in frequency-time domain. Then, BS should transform the channel response/covariance matrix from Frequency-Time domain into Delay-Doppler domain. An example of transformation function, among others, could be symplectic finite Fourier transform (SFFT). In another embodiment, the reference signal may be generated in a Delay-Doppler domain, and then the channel estimation will direction output the channel response/covariance matrix in Delay-Doppler domain.

In an embodiment, the downlink and the uplink difference can be applied to the channel response/covariance matrix that represents the multipath fading for each transmission link between antenna elements in the receiver and transmitter (e.g., user equipment device and base station device). In an embodiment, the base station device can change the sign of Doppler value for each sample (negative to positive or vice versa) to reflect the Doppler difference in Tx and Rx. Another example is to adjust the array response due to frequency difference between UL and DL frequencies.

In an embodiment, the channel response/covariance matrix can then be used by the base station device to set transmission parameters (precoding matrix indicator, rank indicator, etc.) for subsequent transmissions. The transmission parameters can be generated in Delay-Doppler domain or frequency-time domain depending on which domain the data is generated. The base station device can then use the channel covariance for short term CSI acquisitions including beamforming the channel state information reference signal ports using the dominant eigen modes of the channel covariance matrix.

In various embodiments, a base station device can comprise a processor and a memory that stores executable instructions that, when executed by the processor facilitate performance of operations. The operations can comprise receiving a reference signal from a user equipment device. The operations can also comprise generating, based on the reference signal, channel state information in a delay Doppler domain, wherein the channel state information comprises a channel response matrix. The operations can also comprise applying an uplink and downlink difference to the channel response matrix to reflect a Doppler difference in reception and transmission respectively.

In another embodiment, method comprises receiving, by a user equipment device comprising a processor, an uplink reference signal from a user equipment device. The method can also comprise based on the uplink reference signal, determining, by the user equipment device, delay Doppler domain channel state information, wherein the delay Doppler domain channel state information comprises a covariance matrix. The method can also comprise based on whether the element is an uplink element, adjusting, by the user equipment device, a Doppler value of an element of the covariance matrix.

In another embodiment machine-readable storage medium, comprising executable instructions that, when executed by a processor of a device, facilitate performance of operations. The operations can comprise receiving a reference signal from a user equipment device. The operations can also comprise generating, based on the reference signal, channel state information in a delay Doppler domain, wherein the channel state information comprises a channel response matrix, wherein the channel response matrix represents a quality of a transmission link between an antenna element at a transmitter and an antenna element at a receiver. The operations can also comprise applying an uplink and downlink difference to the channel response matrix to reflect a Doppler difference in reception and transmission respectively.

As used in this disclosure, in some embodiments, the terms “component,” “system” and the like are intended to refer to, or comprise, a computer-related entity or an entity related to an operational apparatus with one or more specific functionalities, wherein the entity can be either hardware, a combination of hardware and software, software, or software in execution. As an example, a component may be, but is not limited to being, a process running on a processor, a processor, an object, an executable, a thread of execution, computer-executable instructions, a program, and/or a computer. By way of illustration and not limitation, both an application running on a server and the server can be a component.

One or more components may reside within a process and/or thread of execution and a component may be localized on one computer and/or distributed between two or more computers. In addition, these components can execute from various computer readable media having various data structures stored thereon. The components may communicate via local and/or remote processes such as in accordance with a signal having one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and/or across a network such as the Internet with other systems via the signal). As another example, a component can be an apparatus with specific functionality provided by mechanical parts operated by electric or electronic circuitry, which is operated by a software application or firmware application executed by a processor, wherein the processor can be internal or external to the apparatus and executes at least a part of the software or firmware application. As yet another example, a component can be an apparatus that provides specific functionality through electronic components without mechanical parts, the electronic components can comprise a processor therein to execute software or firmware that confers at least in part the functionality of the electronic components. While various components have been illustrated as separate components, it will be appreciated that multiple components can be implemented as a single component, or a single component can be implemented as multiple components, without departing from example embodiments.

Further, the various embodiments can be implemented as a method, apparatus or article of manufacture using standard programming and/or engineering techniques to produce software, firmware, hardware or any combination thereof to control a computer to implement the disclosed subject matter. The term “article of manufacture” as used herein is intended to encompass a computer program accessible from any computer-readable (or machine-readable) device or computer-readable (or machine-readable) storage/communications media. For example, computer readable storage media can comprise, but are not limited to, magnetic storage devices (e.g., hard disk, floppy disk, magnetic strips), optical disks (e.g., compact disk (CD), digital versatile disk (DVD)), smart cards, and flash memory devices (e.g., card, stick, key drive). Of course, those skilled in the art will recognize many modifications can be made to this configuration without departing from the scope or spirit of the various embodiments.

In addition, the words “example” and “exemplary” are used herein to mean serving as an instance or illustration. Any embodiment or design described herein as “example” or “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word example or exemplary is intended to present concepts in a concrete fashion. As used in this application, the term “or” is intended to mean an inclusive “or” rather than an exclusive “or”. That is, unless specified otherwise or clear from context, “X employs A or B” is intended to mean any of the natural inclusive permutations. That is, if X employs A; X employs B; or X employs both A and B, then “X employs A or B” is satisfied under any of the foregoing instances. In addition, the articles “a” and “an” as used in this application and the appended claims should generally be construed to mean “one or more” unless specified otherwise or clear from context to be directed to a singular form.

Moreover, terms such as “mobile device equipment,” “mobile station,” “mobile,” subscriber station,” “access terminal,” “terminal,” “handset,” “communication device,” “mobile device” (and/or terms representing similar terminology) can refer to a wireless device utilized by a subscriber or mobile device of a wireless communication service to receive or convey data, control, voice, video, sound, gaming or substantially any data-stream or signaling-stream. The foregoing terms are utilized interchangeably herein and with reference to the related drawings. Likewise, the terms “access point (AP),” “Base Station (BS),” BS transceiver, BS device, cell site, cell site device, “Node B (NB),” “evolved Node B (eNode B),” “home Node B (HNB)” and the like, are utilized interchangeably in the application, and refer to a wireless network component or appliance that transmits and/or receives data, control, voice, video, sound, gaming or substantially any data-stream or signaling-stream from one or more subscriber stations. Data and signaling streams can be packetized or frame-based flows.

Furthermore, the terms “device,” “communication device,” “mobile device,” “subscriber,” “customer entity,” “consumer,” “customer entity,” “entity” and the like are employed interchangeably throughout, unless context warrants particular distinctions among the terms. It should be appreciated that such terms can refer to human entities or automated components supported through artificial intelligence (e.g., a capacity to make inference based on complex mathematical formalisms), which can provide simulated vision, sound recognition and so forth.

Embodiments described herein can be exploited in substantially any wireless communication technology, comprising, but not limited to, wireless fidelity (Wi-Fi), global system for mobile communications (GSM), universal mobile telecommunications system (UMTS), worldwide interoperability for microwave access (WiMAX), enhanced general packet radio service (enhanced GPRS), third generation partnership project (3GPP) long term evolution (LTE), third generation partnership project 2 (3GPP2) ultra mobile broadband (UMB), high speed packet access (HSPA), Z-Wave, Zigbee and other 802.XX wireless technologies and/or legacy telecommunication technologies.

FIG. 1 illustrates an example wireless communication system 100 in accordance with various aspects and embodiments of the subject disclosure. In one or more embodiments, system 100 can comprise one or more user equipment UEs 104 and 102, which can have one or more antenna panels having vertical and horizontal elements. A UE 102 can be a mobile device such as a cellular phone, a smartphone, a tablet computer, a wearable device, a virtual reality (VR) device, a heads-up display (HUD) device, a smart car, a machine-type communication (MTC) device, and the like. UE 102 can also refer to any type of wireless device that communicates with a radio network node in a cellular or mobile communication system. Examples of UE 102 are target device, device to device (D2D) UE, machine type UE or UE capable of machine to machine (M2M) communication, PDA, Tablet, mobile terminals, smart phone, laptop embedded equipped (LEE), laptop mounted equipment (LME), USB dongles etc. User equipment UE 102 can also comprise IOT devices that communicate wirelessly. In various embodiments, system 100 is or comprises a wireless communication network serviced by one or more wireless communication network providers. In example embodiments, a UE 102 can be communicatively coupled to the wireless communication network via a network node 106.

The non-limiting term network node (or radio network node) is used herein to refer to any type of network node serving a UE 102 and UE 104 and/or connected to other network node, network element, or another network node from which the UE 102 or 104 can receive a radio signal. Network nodes can also have multiple antennas for performing various transmission operations (e.g., MIMO operations). A network node can have a cabinet and other protected enclosures, an antenna mast, and actual antennas. Network nodes can serve several cells, also called sectors, depending on the configuration and type of antenna. Examples of network nodes (e.g., network node 106) can comprise but are not limited to: NodeB devices, base station (BS) devices, access point (AP) devices, and radio access network (RAN) devices. The network node 106 can also comprise multi-standard radio (MSR) radio node devices, including but not limited to: an MSR BS, an eNode B, a network controller, a radio network controller (RNC), a base station controller (BSC), a relay, a donor node controlling relay, a base transceiver station (BTS), a transmission point, a transmission node, an RRU, an RRH, nodes in distributed antenna system (DAS), and the like. In 5G terminology, the node 106 can be referred to as a gNodeB device.

Wireless communication system 100 can employ various cellular technologies and modulation schemes to facilitate wireless radio communications between devices (e.g., the UE 102 and 104 and the network node 106). For example, system 100 can operate in accordance with a UMTS, long term evolution (LTE), high speed packet access (HSPA), code division multiple access (CDMA), time division multiple access (TDMA), frequency division multiple access (FDMA), multi-carrier code division multiple access (MC-CDMA), single-carrier code division multiple access (SC-CDMA), single-carrier FDMA (SC-FDMA), OFDM, (DFT)-spread OFDM or SC-FDMA)), FBMC, ZT DFT-s-OFDM, GFDM, UFMC, UW DFT-Spread-OFDM, UW-OFDM, CP-OFDM, resource-block-filtered OFDM, and UFMC. However, various features and functionalities of system 100 are particularly described wherein the devices (e.g., the UEs 102 and 104 and the network device 106) of system 100 are configured to communicate wireless signals using one or more multi carrier modulation schemes, wherein data symbols can be transmitted simultaneously over multiple frequency subcarriers (e.g., OFDM, CP-OFDM, DFT-spread OFMD, UFMC, FMBC, etc.).

In various embodiments, system 100 can be configured to provide and employ 5G wireless networking features and functionalities. 5G wireless communication networks are expected to fulfill the demand of exponentially increasing data traffic and to allow people and machines to enjoy gigabit data rates with virtually zero latency. Compared to 4G, 5G supports more diverse traffic scenarios. For example, in addition to the various types of data communication between conventional UEs (e.g., phones, smartphones, tablets, PCs, televisions, Internet enabled televisions, etc.) supported by 4G networks, 5G networks can be employed to support data communication between smart cars in association with driverless car environments, as well as machine type communications (MTCs).

In an embodiment, network node 106 and UE 104 and 102 can transmit channel response information relating to information about the attenuation and phase of downlink and uplink control information in a delay-Doppler domain. Transmitting control information in the delay-Doppler domain can reduce overall channel feedback overhead as the delay-Doppler domain can model both the uplink and downlink channel response information in a frequency division duplex system. Since the uplink and downlink channels are separated by frequency and not time as in a time division duplex system, the instantaneous channel conditions will be reciprocal for both uplink and downlink channels, with small variations due to frequency differences.

In typical radio propagation, surrounding objects are the same for both downlink and uplink even though FDD uses separate bands. The multi-path of radio propagation can be reciprocal in terms of each ray and each cluster (e.g., transmission link between antenna elements on the transmitter and receiver). In other words, the channel response or covariance matrix should be reciprocal except the Doppler shift is on opposite direction. Therefore, we covert the channel into Delay-Doppler domain to reconstruct the channel in the opposite direction. In actual deployment, this scheme allows large number of antenna port without heavy CSI feedback overhead. In practice, it allows MIMO precoding without any PMI and RI feedback.

In an embodiment, UE 102 or 104 can transmit a reference or pilot with known characteristics, and network node 106 can receive the reference signal and determine channel state information for the uplink between UE 104 or 102 and network node 106. In an embodiment, the reference signal can be on a frequency time domain and network node 106 can convert the reference signal or channel state information into a delay-Doppler domain, or the reference signal can already be in a delay-Doppler domain and network node 106 can derive channel state information in the form of a channel response or covariance matrix and transmit the channel response/covariance matrix to the UE 104 or 102. The network node 106 can adjust the sign of the Doppler value to account for whether the channel state information is for the uplink or the downlink. The Doppler absolute value can be based on the amount of multipath, attenuation, phase change, or movement (speed and vector) of the UE 102 and 104 relative to the network node 106.

In another embodiment, the network node 106 can transmit a reference signal and UE 104 or UE 102 can determine the channel state information and/or perform the delay-Doppler domain conversion instead of the network node 106.

In an embodiment, the network node 106 or the UE 104 and 102 can estimate a channel response or channel covariance matrix in the Delay-Doppler domain where the channel estimation is based on the reference signal that is received from the corresponding device. In an embodiment, the reference signal may be generated in traditional frequency-time domain, in that case the estimated channel response/covariance matrix is in frequency-time domain. Then, the network node 106 or the UE 104/102 can transform the channel response/covariance matrix from Frequency-Time domain into Delay-Doppler domain. An example of transformation function, among others, could be a Symplectic Finite Fourier transform (SFFT) or a Discrete Symplectic Fourier Transform (DSFT). In another embodiment, the reference signal may be generated in a Delay-Doppler domain, and then the channel estimation will direction output the channel response/covariance matrix in Delay-Doppler domain.

In an embodiment, the channel response can refer to the channel conditions between a receiver antenna and a transmitter antenna (for single antenna systems) or between respective antenna elements on a receiver and a transmitter (for MIMO systems). The covariance matrix can refer a set of channel responses for each antenna pair of the MIMO system.

In an embodiment, the downlink and the uplink difference can be applied to the channel response/covariance matrix that represents the multipath fading for each transmission link between antenna elements in the receiver and transmitter (e.g., user equipment device and base station device). In an embodiment, the base station device can change the sign of Doppler value for each sample (negative to positive or vice versa) to reflect the Doppler difference in Tx and Rx. Another example is to adjust the array response due to frequency difference between UL and DL frequencies.

In an embodiment, the channel response/covariance matrix can then be used by the base station device to set transmission parameters (precoding matrix indicator, rank indicator, etc.) for subsequent transmissions. The transmission parameters can be generated in Delay-Doppler domain or frequency-time domain depending on which domain the data is generated. The base station device can then use the channel covariance for short term CSI acquisitions including beamforming the channel state information reference signal ports using the dominant eigen modes of the channel covariance matrix.

Turning now to FIG. 2, illustrated is an example block diagram showing a message sequence chart 200 in accordance with various aspects and embodiments of the subject disclosure.

In FIG. 2, a GNB 202 can receive a reference signal 206 from a UE device 204, and then determine channel state information from the reference signal 206 and/or perform delay-Doppler domain conversion 208 to obtain a channel response/covariance matrix in a delay-Doppler domain for one or more antenna links between the GNB 202 and UE 204. The GNB 202 can then send the channel response or covariance matrix at 210 to the UE 204.

In FIG. 3, a similar sequence is demonstrated in message sequence chart 300, but instead is reversed, as the GNB 302 issues a reference signal 306 and UE 304 receives the reference signal, then determines channel state information from the reference signal 306 and performs delay-Doppler domain conversion 308 to obtain a channel response/covariance matrix in a delay-Doppler domain for one or more antenna links between the GNB 302 and UE 304. The UE 304 can then send the channel response or covariance matrix at 310 to the GNB 302.

Turning now to FIG. 4, illustrated is an example block diagram embodiment of a reciprocal based channel state information acquisition system 400 in accordance with various aspects and embodiments of the subject disclosure.

The reciprocal based channel state information acquisition system can utilize delay-Doppler domain based channel response and covariance matrices to model the attenuation, multipath and other channel state information for transmission links 408 and 410 between base station device 402 and mobile device 404. The delay-Doppler domain based channel response and covariance matrices can reduce the channel feedback overhead as the uplink/downlink versions of the channel response are different only based on a sign of the Doppler difference.

The delay-Doppler domain based channel response and covariance matrix can also account for objects 406 that may be blocking, partially blocking or causing an obstruction between base station device 402 and UE 404. Since the obstructions stay in the same place relative to the base station device 402 and UE 404, the channel state information is reciprocal.

The frequencies used for uplink and downlink can be slightly different in a frequency division duplex system, and may have slightly different channel states based on different multipaths, obstructions and the like, and so the base station device 402 or the UE device 404 can adjust the array response based on the frequency differences.

Turning now to FIG. 5, illustrated is an example block diagram embodiment of a reciprocal based channel state information acquisition system 500 in accordance with various aspects and embodiments of the subject disclosure. It is to be appreciated that while the system 500 comprises a base station device 502, in other embodiments, the reciprocal based channel state information acquisition system can be performed by a user equipment device.

The base station device 502 can comprise a transceiver component 504 that is configured to receive a reference signal from a user equipment device. A CSI component can be configured to generate, based on the reference signal, channel state information. In an embodiment, if the reference signal is already in a delay Doppler domain, then no conversion is needed. In other embodiments, if the reference channel and then the channel state information are in a Frequency Time domain, the domain conversion component 508 can convert the Frequency Time domain information into delay-Doppler domain using an SFFT or a DSFT or other equivalent transformation function.

An adjustment component 510 can apply the downlink and uplink difference to the channel response/covariance matrix. The downlink and uplink transmission streams can include a variety of different filters, amplifiers, and other circuitry that can result in requiring slightly modified channel response/covariance matrix parameters. The adjustment component 510 can adjust these parameters as needed. The adjustment component 510 can also adjust the sign of the Doppler parameter based on whether it is being used to determine transmission parameters for uplink or downlink transmissions. The adjustment component 510 can also adjust the array response due to frequency difference between UL and DL frequencies.

Once the transmission parameters have been set, the transceiver component 504 can then beamform the CSI-RS ports using the dominant eigen modes of the channel covariance matrix.

FIGS. 6-8 illustrates a process in connection with the aforementioned systems. The processes in FIGS. 6-8 can be implemented for example by the systems in FIGS. 1-5 respectively. While for purposes of simplicity of explanation, the methods are shown and described as a series of blocks, it is to be understood and appreciated that the claimed subject matter is not limited by the order of the blocks, as some blocks may occur in different orders and/or concurrently with other blocks from what is depicted and described herein. Moreover, not all illustrated blocks may be required to implement the methods described hereinafter.

FIG. 6 illustrates an example method 600 for reciprocally acquiring channel state information in a frequency division duplex system in accordance with various aspects and embodiments of the subject disclosure.

Method 600 can begin at 602 where the method includes receiving, by a user equipment device comprising a processor, an uplink reference signal from a user equipment device.

At 604, the method includes based on the reference signal, determining, by the user equipment device, delay Doppler domain channel state information, wherein the delay Doppler domain channel state information comprises a covariance matrix.

At 606, the method includes based on whether the element is an uplink element, adjusting, by the user equipment device, a Doppler value of an element of the covariance matrix.

FIG. 7 illustrates an example method 700 for reciprocally acquiring channel state information in a frequency division duplex system in accordance with various aspects and embodiments of the subject disclosure.

Method 700 can begin at 702 wherein the method includes receiving a reference signal from a user equipment device.

At 704, the method can include generating, based on the uplink reference signal, channel state information in a delay Doppler domain, wherein the channel state information comprises a channel response matrix.

At 706, the method can include applying an uplink and downlink difference to the channel response matrix to reflect a Doppler difference in reception and transmission respectively.

FIG. 8 illustrates an example method 800 for reciprocally acquiring channel state information in a frequency division duplex system in accordance with various aspects and embodiments of the subject disclosure

At 802, the method includes converting frequency-time domain channel state information associated with the reference signal into delay Doppler domain channel state information.

At 804, the method includes adjusting an array response associated with the channel response matrix based on a frequency difference between an uplink frequency and a downlink frequency.

At 806, the method includes generating a transmission parameter comprising at least one of a precoder matrix indicator or a rank indicator based on the channel response matrix.

At 808, the method includes beamforming a channel state indicator reference signal based on an eigen mode of the channel response matrix.

Referring now to FIG. 9, illustrated is a schematic block diagram of an example end-user device such as a user equipment) that can be a mobile device 900 capable of connecting to a network in accordance with some embodiments described herein. Although a mobile handset 900 is illustrated herein, it will be understood that other devices can be a mobile device, and that the mobile handset 900 is merely illustrated to provide context for the embodiments of the various embodiments described herein. The following discussion is intended to provide a brief, general description of an example of a suitable environment 900 in which the various embodiments can be implemented. While the description includes a general context of computer-executable instructions embodied on a machine-readable storage medium, those skilled in the art will recognize that the various embodiments also can be implemented in combination with other program modules and/or as a combination of hardware and software.

Generally, applications (e.g., program modules) can include routines, programs, components, data structures, etc., that perform particular tasks or implement particular abstract data types. Moreover, those skilled in the art will appreciate that the methods described herein can be practiced with other system configurations, including single-processor or multiprocessor systems, minicomputers, mainframe computers, as well as personal computers, hand-held computing devices, microprocessor-based or programmable consumer electronics, and the like, each of which can be operatively coupled to one or more associated devices.

A computing device can typically include a variety of machine-readable media. Machine-readable media can be any available media that can be accessed by the computer and includes both volatile and non-volatile media, removable and non-removable media. By way of example and not limitation, computer-readable media can comprise computer storage media and communication media. Computer storage media can include volatile and/or non-volatile media, removable and/or non-removable media implemented in any method or technology for storage of information, such as computer-readable instructions, data structures, program modules or other data. Computer storage media can include, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD ROM, digital video disk (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by the computer.

Communication media typically embodies computer-readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism, and includes any information delivery media. The term “modulated data signal” means a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal. By way of example, and not limitation, communication media includes wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, RF, infrared and other wireless media. Combinations of the any of the above should also be included within the scope of computer-readable media.

The handset 900 includes a processor 902 for controlling and processing all onboard operations and functions. A memory 904 interfaces to the processor 902 for storage of data and one or more applications 906 (e.g., a video player software, user feedback component software, etc.). Other applications can include voice recognition of predetermined voice commands that facilitate initiation of the user feedback signals. The applications 906 can be stored in the memory 904 and/or in a firmware 908, and executed by the processor 902 from either or both the memory 904 or/and the firmware 908. The firmware 908 can also store startup code for execution in initializing the handset 900. A communications component 910 interfaces to the processor 902 to facilitate wired/wireless communication with external systems, e.g., cellular networks, VoIP networks, and so on. Here, the communications component 910 can also include a suitable cellular transceiver 99 (e.g., a GSM transceiver) and/or an unlicensed transceiver 913 (e.g., Wi-Fi, WiMax) for corresponding signal communications. The handset 900 can be a device such as a cellular telephone, a PDA with mobile communications capabilities, and messaging-centric devices. The communications component 910 also facilitates communications reception from terrestrial radio networks (e.g., broadcast), digital satellite radio networks, and Internet-based radio services networks.

The handset 900 includes a display 912 for displaying text, images, video, telephony functions (e.g., a Caller ID function), setup functions, and for user input. For example, the display 912 can also be referred to as a “screen” that can accommodate the presentation of multimedia content (e.g., music metadata, messages, wallpaper, graphics, etc.). The display 912 can also display videos and can facilitate the generation, editing and sharing of video quotes. A serial I/O interface 914 is provided in communication with the processor 902 to facilitate wired and/or wireless serial communications (e.g., USB, and/or IEEE 1394) through a hardwire connection, and other serial input devices (e.g., a keyboard, keypad, and mouse). This supports updating and troubleshooting the handset 900, for example. Audio capabilities are provided with an audio I/O component 916, which can include a speaker for the output of audio signals related to, for example, indication that the user pressed the proper key or key combination to initiate the user feedback signal. The audio I/O component 916 also facilitates the input of audio signals through a microphone to record data and/or telephony voice data, and for inputting voice signals for telephone conversations.

The handset 900 can include a slot interface 918 for accommodating a SIC (Subscriber Identity Component) in the form factor of a card Subscriber Identity Module (SIM) or universal SIM 920, and interfacing the SIM card 920 with the processor 902. However, it is to be appreciated that the SIM card 920 can be manufactured into the handset 900, and updated by downloading data and software.

The handset 900 can process IP data traffic through the communication component 910 to accommodate IP traffic from an IP network such as, for example, the Internet, a corporate intranet, a home network, a person area network, etc., through an ISP or broadband cable provider. Thus, VoIP traffic can be utilized by the handset 900 and IP-based multimedia content can be received in either an encoded or decoded format.

A video processing component 922 (e.g., a camera) can be provided for decoding encoded multimedia content. The video processing component 922 can aid in facilitating the generation, editing and sharing of video quotes. The handset 900 also includes a power source 924 in the form of batteries and/or an AC power subsystem, which power source 924 can interface to an external power system or charging equipment (not shown) by a power I/O component 926.

The handset 900 can also include a video component 930 for processing video content received and, for recording and transmitting video content. For example, the video component 930 can facilitate the generation, editing and sharing of video quotes. A location tracking component 932 facilitates geographically locating the handset 900. As described hereinabove, this can occur when the user initiates the feedback signal automatically or manually. A user input component 934 facilitates the user initiating the quality feedback signal. The user input component 934 can also facilitate the generation, editing and sharing of video quotes. The user input component 934 can include such conventional input device technologies such as a keypad, keyboard, mouse, stylus pen, and/or touch screen, for example.

Referring again to the applications 906, a hysteresis component 936 facilitates the analysis and processing of hysteresis data, which is utilized to determine when to associate with the access point. A software trigger component 938 can be provided that facilitates triggering of the hysteresis component 938 when the Wi-Fi transceiver 913 detects the beacon of the access point. A SIP client 940 enables the handset 900 to support SIP protocols and register the subscriber with the SIP registrar server. The applications 906 can also include a client 942 that provides at least the capability of discovery, play and store of multimedia content, for example, music.

The handset 900, as indicated above related to the communications component 810, includes an indoor network radio transceiver 913 (e.g., Wi-Fi transceiver). This function supports the indoor radio link, such as IEEE 802.11, for the dual-mode GSM handset 900. The handset 900 can accommodate at least satellite radio services through a handset that can combine wireless voice and digital radio chipsets into a single handheld device.

Referring now to FIG. 10, there is illustrated a block diagram of a computer 1000 operable to execute the functions and operations performed in the described example embodiments. For example, a network node (e.g., network node 402 may contain components as described in FIG. 10. The computer 1000 can provide networking and communication capabilities between a wired or wireless communication network and a server and/or communication device. In order to provide additional context for various aspects thereof, FIG. 10 and the following discussion are intended to provide a brief, general description of a suitable computing environment in which the various aspects of the embodiments can be implemented to facilitate the establishment of a transaction between an entity and a third party. While the description above is in the general context of computer-executable instructions that can run on one or more computers, those skilled in the art will recognize that the various embodiments also can be implemented in combination with other program modules and/or as a combination of hardware and software.

Generally, program modules include routines, programs, components, data structures, etc., that perform particular tasks or implement particular abstract data types. Moreover, those skilled in the art will appreciate that the various methods can be practiced with other computer system configurations, including single-processor or multiprocessor computer systems, minicomputers, mainframe computers, as well as personal computers, hand-held computing devices, microprocessor-based or programmable consumer electronics, and the like, each of which can be operatively coupled to one or more associated devices.

The illustrated aspects of the various embodiments can also be practiced in distributed computing environments where certain tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules can be located in both local and remote memory storage devices.

Computing devices typically include a variety of media, which can include computer-readable storage media or communications media, which two terms are used herein differently from one another as follows.

Computer-readable storage media can be any available storage media that can be accessed by the computer and includes both volatile and nonvolatile media, removable and non-removable media. By way of example, and not limitation, computer-readable storage media can be implemented in connection with any method or technology for storage of information such as computer-readable instructions, program modules, structured data, or unstructured data. Computer-readable storage media can include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or other tangible and/or non-transitory media which can be used to store desired information. Computer-readable storage media can be accessed by one or more local or remote computing devices, e.g., via access requests, queries or other data retrieval protocols, for a variety of operations with respect to the information stored by the medium.

Communications media can embody computer-readable instructions, data structures, program modules or other structured or unstructured data in a data signal such as a modulated data signal, e.g., a carrier wave or other transport mechanism, and includes any information delivery or transport media. The term “modulated data signal” or signals refers to a signal that has one or more of its characteristics set or changed in such a manner as to encode information in one or more signals. By way of example, and not limitation, communication media include wired media, such as a wired network or direct-wired connection, and wireless media such as acoustic, RF, infrared and other wireless media.

With reference to FIG. 10, implementing various aspects described herein with regards to the end-user device can include a computer 1000, the computer 1000 including a processing unit 1004, a system memory 1006 and a system bus 1008. The system bus 1008 couples system components including, but not limited to, the system memory 1006 to the processing unit 1004. The processing unit 1004 can be any of various commercially available processors. Dual microprocessors and other multi-processor architectures can also be employed as the processing unit 1004.

The system bus 1008 can be any of several types of bus structure that can further interconnect to a memory bus (with or without a memory controller), a peripheral bus, and a local bus using any of a variety of commercially available bus architectures. The system memory 1006 includes read-only memory (ROM) 1027 and random access memory (RAM) 1010. A basic input/output system (BIOS) is stored in a non-volatile memory 1027 such as ROM, EPROM, EEPROM, which BIOS contains the basic routines that help to transfer information between elements within the computer 1000, such as during start-up. The RAM 1012 can also include a high-speed RAM such as static RAM for caching data.

The computer 1000 further includes an internal hard disk drive (HDD) 1014 (e.g., EIDE, SATA), which internal hard disk drive 1014 can also be configured for external use in a suitable chassis (not shown), a magnetic floppy disk drive (FDD) 1016, (e.g., to read from or write to a removable diskette 1018) and an optical disk drive 1020, (e.g., reading a CD-ROM disk 1022 or, to read from or write to other high capacity optical media such as the DVD). The hard disk drive 1014, magnetic disk drive 1016 and optical disk drive 1020 can be connected to the system bus 1008 by a hard disk drive interface 1024, a magnetic disk drive interface 1026 and an optical drive interface 1028, respectively. The interface 1024 for external drive implementations includes at least one or both of Universal Serial Bus (USB) and IEEE 1394 interface technologies. Other external drive connection technologies are within contemplation of the subject embodiments.

The drives and their associated computer-readable media provide nonvolatile storage of data, data structures, computer-executable instructions, and so forth. For the computer 1000 the drives and media accommodate the storage of any data in a suitable digital format. Although the description of computer-readable media above refers to a HDD, a removable magnetic diskette, and a removable optical media such as a CD or DVD, it should be appreciated by those skilled in the art that other types of media which are readable by a computer 1000, such as zip drives, magnetic cassettes, flash memory cards, cartridges, and the like, can also be used in the example operating environment, and further, that any such media can contain computer-executable instructions for performing the methods of the disclosed embodiments.

A number of program modules can be stored in the drives and RAM 1012, including an operating system 1030, one or more application programs 1032, other program modules 1034 and program data 1036. All or portions of the operating system, applications, modules, and/or data can also be cached in the RAM 1010. It is to be appreciated that the various embodiments can be implemented with various commercially available operating systems or combinations of operating systems.

A user can enter commands and information into the computer 1000 through one or more wired/wireless input devices, e.g., a keyboard 1038 and a pointing device, such as a mouse 1040. Other input devices (not shown) may include a microphone, an IR remote control, a joystick, a game pad, a stylus pen, touch screen, or the like. These and other input devices are often connected to the processing unit 1004 through an input device interface 1042 that is coupled to the system bus 1008, but can be connected by other interfaces, such as a parallel port, an IEEE 1394 serial port, a game port, a USB port, an IR interface, etc.

A monitor 1044 or other type of display device is also connected to the system bus 1008 through an interface, such as a video adapter 1046. In addition to the monitor 1044, a computer 1000 typically includes other peripheral output devices (not shown), such as speakers, printers, etc.

The computer 1000 can operate in a networked environment using logical connections by wired and/or wireless communications to one or more remote computers, such as a remote computer(s) 1048. The remote computer(s) 1048 can be a workstation, a server computer, a router, a personal computer, portable computer, microprocessor-based entertainment device, a peer device or other common network node, and typically includes many or all of the elements described relative to the computer, although, for purposes of brevity, only a memory/storage device 1050 is illustrated. The logical connections depicted include wired/wireless connectivity to a local area network (LAN) 1052 and/or larger networks, e.g., a wide area network (WAN) 1054. Such LAN and WAN networking environments are commonplace in offices and companies, and facilitate enterprise-wide computer networks, such as intranets, all of which may connect to a global communications network, e.g., the Internet.

When used in a LAN networking environment, the computer 1000 is connected to the local network 1052 through a wired and/or wireless communication network interface or adapter 1056. The adapter 1056 may facilitate wired or wireless communication to the LAN 1052, which may also include a wireless access point disposed thereon for communicating with the wireless adapter 1056.

When used in a WAN networking environment, the computer 1000 can include a modem 1058, or is connected to a communications server on the WAN 1054, or has other means for establishing communications over the WAN 1054, such as by way of the Internet. The modem 1058, which can be internal or external and a wired or wireless device, is connected to the system bus 1008 through the input device interface 1042. In a networked environment, program modules depicted relative to the computer, or portions thereof, can be stored in the remote memory/storage device 1050. It will be appreciated that the network connections shown are exemplary and other means of establishing a communications link between the computers can be used.

The computer is operable to communicate with any wireless devices or entities operatively disposed in wireless communication, e.g., a printer, scanner, desktop and/or portable computer, portable data assistant, communications satellite, any piece of equipment or location associated with a wirelessly detectable tag (e.g., a kiosk, news stand, restroom), and telephone. This includes at least Wi-Fi and Bluetooth™ wireless technologies. Thus, the communication can be a predefined structure as with a conventional network or simply an ad hoc communication between at least two devices.

Wi-Fi, or Wireless Fidelity, allows connection to the Internet from a couch at home, a bed in a hotel room, or a conference room at work, without wires. Wi-Fi is a wireless technology similar to that used in a cell phone that enables such devices, e.g., computers, to send and receive data indoors and out; anywhere within the range of a base station. Wi-Fi networks use radio technologies called IEEE802.11 (a, b, g, n, etc.) to provide secure, reliable, fast wireless connectivity. A Wi-Fi network can be used to connect computers to each other, to the Internet, and to wired networks (which use IEEE802.3 or Ethernet). Wi-Fi networks operate in the unlicensed 2.4 and 5 GHz radio bands, at an 11 Mbps (802.11b) or 54 Mbps (802.11a) data rate, for example, or with products that contain both bands (dual band), so the networks can provide real-world performance similar to the basic “10BaseT” wired Ethernet networks used in many offices.

As used in this application, the terms “system,” “component,” “interface,” and the like are generally intended to refer to a computer-related entity or an entity related to an operational machine with one or more specific functionalities. The entities disclosed herein can be either hardware, a combination of hardware and software, software, or software in execution. For example, a component may be, but is not limited to being, a process running on a processor, a processor, an object, an executable, a thread of execution, a program, and/or a computer. By way of illustration, both an application running on a server and the server can be a component. One or more components may reside within a process and/or thread of execution and a component may be localized on one computer and/or distributed between two or more computers. These components also can execute from various computer readable storage media having various data structures stored thereon. The components may communicate via local and/or remote processes such as in accordance with a signal having one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and/or across a network such as the Internet with other systems via the signal). As another example, a component can be an apparatus with specific functionality provided by mechanical parts operated by electric or electronic circuitry that is operated by software or firmware application(s) executed by a processor, wherein the processor can be internal or external to the apparatus and executes at least a part of the software or firmware application. As yet another example, a component can be an apparatus that provides specific functionality through electronic components without mechanical parts, the electronic components can comprise a processor therein to execute software or firmware that confers at least in part the functionality of the electronic components. An interface can comprise input/output (I/O) components as well as associated processor, application, and/or API components.

Furthermore, the disclosed subject matter may be implemented as a method, apparatus, or article of manufacture using standard programming and/or engineering techniques to produce software, firmware, hardware, or any combination thereof to control a computer to implement the disclosed subject matter. The term “article of manufacture” as used herein is intended to encompass a computer program accessible from any computer-readable device, computer-readable carrier, or computer-readable media. For example, computer-readable media can include, but are not limited to, a magnetic storage device, e.g., hard disk; floppy disk; magnetic strip(s); an optical disk (e.g., compact disk (CD), a digital video disc (DVD), a Blu-ray Disc™ (BD)); a smart card; a flash memory device (e.g., card, stick, key drive); and/or a virtual device that emulates a storage device and/or any of the above computer-readable media.

As it employed in the subject specification, the term “processor” can refer to substantially any computing processing unit or device comprising, but not limited to comprising, single-core processors; single-processors with software multithread execution capability; multi-core processors; multi-core processors with software multithread execution capability; multi-core processors with hardware multithread technology; parallel platforms; and parallel platforms with distributed shared memory. Additionally, a processor can refer to an integrated circuit, an application specific integrated circuit (ASIC), a digital signal processor (DSP), a field programmable gate array (FPGA), a programmable logic controller (PLC), a complex programmable logic device (CPLD), a discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. Processors can exploit nano-scale architectures such as, but not limited to, molecular and quantum-dot based transistors, switches and gates, in order to optimize space usage or enhance performance of user equipment. A processor also can be implemented as a combination of computing processing units.

In the subject specification, terms such as “store,” “data store,” “data storage,” “database,” “repository,” “queue”, and substantially any other information storage component relevant to operation and functionality of a component, refer to “memory components,” or entities embodied in a “memory” or components comprising the memory. It will be appreciated that the memory components described herein can be either volatile memory or nonvolatile memory, or can comprise both volatile and nonvolatile memory. In addition, memory components or memory elements can be removable or stationary. Moreover, memory can be internal or external to a device or component, or removable or stationary. Memory can comprise various types of media that are readable by a computer, such as hard-disc drives, zip drives, magnetic cassettes, flash memory cards or other types of memory cards, cartridges, or the like.

By way of illustration, and not limitation, nonvolatile memory can comprise read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM), or flash memory. Volatile memory can comprise random access memory (RAM), which acts as external cache memory. By way of illustration and not limitation, RAM is available in many forms such as synchronous RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and direct Rambus RAM (DRRAM). Additionally, the disclosed memory components of systems or methods herein are intended to comprise, without being limited to comprising, these and any other suitable types of memory.

In particular and in regard to the various functions performed by the above described components, devices, circuits, systems and the like, the terms (including a reference to a “means”) used to describe such components are intended to correspond, unless otherwise indicated, to any component which performs the specified function of the described component (e.g., a functional equivalent), even though not structurally equivalent to the disclosed structure, which performs the function in the herein illustrated example aspects of the embodiments. In this regard, it will also be recognized that the embodiments comprise a system as well as a computer-readable medium having computer-executable instructions for performing the acts and/or events of the various methods.

Computing devices typically comprise a variety of media, which can comprise computer-readable storage media and/or communications media, which two terms are used herein differently from one another as follows. Computer-readable storage media can be any available storage media that can be accessed by the computer and comprises both volatile and nonvolatile media, removable and non-removable media. By way of example, and not limitation, computer-readable storage media can be implemented in connection with any method or technology for storage of information such as computer-readable instructions, program modules, structured data, or unstructured data.

Computer-readable storage media can include, but are not limited to, random access memory (RAM), read only memory (ROM), electrically erasable programmable read only memory (EEPROM), flash memory or other memory technology, solid state drive (SSD) or other solid-state storage technology, compact disk read only memory (CD ROM), digital versatile disk (DVD), Blu-ray disc or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices or other tangible and/or non-transitory media which can be used to store desired information.

In this regard, the terms “tangible” or “non-transitory” herein as applied to storage, memory or computer-readable media, are to be understood to exclude only propagating transitory signals per se as modifiers and do not relinquish rights to all standard storage, memory or computer-readable media that are not only propagating transitory signals per se. Computer-readable storage media can be accessed by one or more local or remote computing devices, e.g., via access requests, queries or other data retrieval protocols, for a variety of operations with respect to the information stored by the medium.

On the other hand, communications media typically embody computer-readable instructions, data structures, program modules or other structured or unstructured data in a data signal such as a modulated data signal, e.g., a carrier wave or other transport mechanism, and comprises any information delivery or transport media. The term “modulated data signal” or signals refers to a signal that has one or more of its characteristics set or changed in such a manner as to encode information in one or more signals. By way of example, and not limitation, communications media comprise wired media, such as a wired network or direct-wired connection, and wireless media such as acoustic, RF, infrared and other wireless media

Further, terms like “user equipment,” “user device,” “mobile device,” “mobile,” station,” “access terminal,” “terminal,” “handset,” and similar terminology, generally refer to a wireless device utilized by a subscriber or user of a wireless communication network or service to receive or convey data, control, voice, video, sound, gaming, or substantially any data-stream or signaling-stream. The foregoing terms are utilized interchangeably in the subject specification and related drawings. Likewise, the terms “access point,” “node B,” “base station,” “evolved Node B,” “cell,” “cell site,” and the like, can be utilized interchangeably in the subject application, and refer to a wireless network component or appliance that serves and receives data, control, voice, video, sound, gaming, or substantially any data-stream or signaling-stream from a set of subscriber stations. Data and signaling streams can be packetized or frame-based flows. It is noted that in the subject specification and drawings, context or explicit distinction provides differentiation with respect to access points or base stations that serve and receive data from a mobile device in an outdoor environment, and access points or base stations that operate in a confined, primarily indoor environment overlaid in an outdoor coverage area. Data and signaling streams can be packetized or frame-based flows.

Furthermore, the terms “user,” “subscriber,” “customer,” “consumer,” and the like are employed interchangeably throughout the subject specification, unless context warrants particular distinction(s) among the terms. It should be appreciated that such terms can refer to human entities, associated devices, or automated components supported through artificial intelligence (e.g., a capacity to make inference based on complex mathematical formalisms) which can provide simulated vision, sound recognition and so forth. In addition, the terms “wireless network” and “network” are used interchangeable in the subject application, when context wherein the term is utilized warrants distinction for clarity purposes such distinction is made explicit.

Moreover, the word “exemplary” is used herein to mean serving as an example, instance, or illustration. Any aspect or design described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other aspects or designs. Rather, use of the word exemplary is intended to present concepts in a concrete fashion. As used in this application, the term “or” is intended to mean an inclusive “or” rather than an exclusive “or”. That is, unless specified otherwise, or clear from context, “X employs A or B” is intended to mean any of the natural inclusive permutations. That is, if X employs A; X employs B; or X employs both A and B, then “X employs A or B” is satisfied under any of the foregoing instances. In addition, the articles “a” and “an” as used in this application and the appended claims should generally be construed to mean “one or more” unless specified otherwise or clear from context to be directed to a singular form.

In addition, while a particular feature may have been disclosed with respect to only one of several implementations, such feature may be combined with one or more other features of the other implementations as may be desired and advantageous for any given or particular application. Furthermore, to the extent that the terms “includes” and “including” and variants thereof are used in either the detailed description or the claims, these terms are intended to be inclusive in a manner similar to the term “comprising.”

The above descriptions of various embodiments of the subject disclosure and corresponding figures and what is described in the Abstract, are described herein for illustrative purposes, and are not intended to be exhaustive or to limit the disclosed embodiments to the precise forms disclosed. It is to be understood that one of ordinary skill in the art may recognize that other embodiments having modifications, permutations, combinations, and additions can be implemented for performing the same, similar, alternative, or substitute functions of the disclosed subject matter, and are therefore considered within the scope of this disclosure. Therefore, the disclosed subject matter should not be limited to any single embodiment described herein, but rather should be construed in breadth and scope in accordance with the claims below. 

What is claimed is:
 1. A method, comprising: applying, by a network device comprising a processor, a difference between an uplink frequency of an uplink channel and a downlink frequency of a downlink channel to a channel response matrix to reflect a Doppler difference between reception and transmission; and adjusting, by the network device, an array response associated with the channel response matrix based on the difference between the uplink frequency and the downlink frequency.
 2. The method of claim 1, further comprising: prior to the applying, receiving, by the network device, a reference signal from a user equipment; and converting, by the network device, frequency-time domain channel state information associated with the reference signal into delay Doppler domain channel state information.
 3. The method of claim 2, further comprising: converting, by the network device, the channel response matrix from a delay Doppler domain to the frequency-time domain.
 4. The method of claim 2, wherein the reference signal is represented according to a frequency time domain.
 5. The method of claim 1, further comprising: prior to the applying, generating, by the network device, channel state information in a delay Doppler domain based on a reference signal received from a user equipment.
 6. The method of claim 1, wherein the channel response matrix represents a quality of a transmission link between a first antenna element at a transmitter and a second antenna element at a receiver.
 7. The method of claim 1, further comprising: generating, by the network device, a transmission parameter comprising a rank indicator based on the channel response matrix.
 8. The method of claim 1, further comprising: generating, by the network device, a transmission parameter comprising a precoder matrix indicator based on the channel response matrix.
 9. The method of claim 8, wherein the transmission parameter is represented according to a same domain as the channel response matrix.
 10. A system, comprising: a processor; and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising: determining a delay Doppler domain channel state information based on an uplink reference signal, wherein the delay Doppler domain channel state information comprises a covariance matrix; and based on a frequency difference between an uplink frequency of an uplink channel and a downlink frequency of a downlink channel, adjusting an array response associated with the covariance matrix.
 11. The system of claim 10, wherein the operations further comprise: based on the covariance matrix, generating a transmission parameter comprising at least one of a precoder matrix indicator or a rank indicator.
 12. The system of claim 11, wherein the transmission parameter is in a same domain as the covariance matrix.
 13. The system of claim 10, wherein the operations further comprise: beamforming a channel state indicator reference signal based on an eigen mode of the covariance matrix.
 14. The system of claim 10, wherein the operations further comprise: converting channel state information in a frequency-time domain into the delay Doppler domain channel state information.
 15. The system of claim 14, wherein the covariance matrix represents a quality of a transmission link between a first antenna element at a transmitter and a second antenna element at a receiver.
 16. The system of claim 10, wherein the operations further comprise: based on an antenna element being an uplink element, adjusting a Doppler value of an element of the covariance matrix.
 17. A non-transitory machine-readable storage medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising: applying an uplink and downlink difference to a channel response matrix that reflects a Doppler difference in reception and transmission respectively, wherein the uplink and downlink difference represents a frequency difference between a first frequency of an uplink and a second frequency of a downlink; and adjusting an array response associated with the channel response matrix based on the frequency difference between the first frequency and the second frequency.
 18. The non-transitory machine-readable storage medium of claim 17, wherein the operations further comprise: converting frequency-time domain channel state information associated with a reference signal received from a user device into delay Doppler domain channel state information.
 19. The non-transitory machine-readable storage medium of claim 18, wherein the delay Doppler domain channel state information comprises a covariance matrix, and wherein the operations further comprise: based on the covariance matrix, generating a transmission parameter comprising at least one of a precoder matrix indicator or a rank indicator, wherein the transmission parameter is in a same domain as the covariance matrix.
 20. The non-transitory machine-readable storage medium of claim 17, wherein the operations further comprise: prior to the applying, generating, based on a reference signal received from a user device, channel state information in a delay Doppler domain, wherein the channel state information comprises the channel response matrix. 